我目前正在编写一个Samza脚本，它将从Kafka主题中获取数据并将数据输出到另一个Kafka主题 . 我写了一个非常基本的StreamTask但是在执行时我遇到了一个错误 .

错误如下：

Exception in thread "main" org.apache.samza.SamzaException: org.apache.kafka.common.errors.TimeoutException: Failed to update metadata after 193 ms.
    at org.apache.samza.coordinator.stream.CoordinatorStreamSystemProducer.send(CoordinatorStreamSystemProducer.java:112)
    at org.apache.samza.coordinator.stream.CoordinatorStreamSystemProducer.writeConfig(CoordinatorStreamSystemProducer.java:129)
    at org.apache.samza.job.JobRunner.run(JobRunner.scala:79)
    at org.apache.samza.job.JobRunner$.main(JobRunner.scala:48)
    at org.apache.samza.job.JobRunner.main(JobRunner.scala)
 Caused by: org.apache.kafka.common.errors.TimeoutException: Failed to update metadata after 193 ms

我不完全确定如何配置或让脚本编写所需的Kafka元数据 . 下面是我的StreamTask代码和属性文件 . 在属性文件中，我添加了元数据部分，以查看这是否有助于此后的过程，但无济于事 . 这是正确的方向还是我完全错过了什么？

import org.apache.samza.task.StreamTask;
import org.apache.samza.task.MessageCollector;
import org.apache.samza.task.TaskCoordinator;
import org.apache.samza.system.SystemStream;
import org.apache.samza.system.IncomingMessageEnvelope;
import org.apache.samza.system.OutgoingMessageEnvelope;

/*
*   Take all messages received and send them to
*   a Kafka topic called "words"
*/

public class TestStreamTask implements StreamTask{

    private static final SystemStream OUTPUT_STREAM = new SystemStream("kafka" , "words");  // create new system stream for kafka topic "words"

    @Override
    public void process(IncomingMessageEnvelope envelope, MessageCollector collector, TaskCoordinator coordinator){

        String message = (String) envelope.getMessage();    // pull message from stream

        for(String word : message.split(" "))
            collector.send(new OutgoingMessageEnvelope(OUTPUT_STREAM, word, 1));    // output messsage to new system stream for kafka topic "words"
    }   
}

# Job
job.factory.class=org.apache.samza.job.yarn.YarnJobFactory
job.name=test-words

# YARN
yarn.package.path=file://${basedir}/target/${project.artifactId}-${pom.version}-dist.tar.gz

# Task
task.class=samza.examples.wikipedia.task.TestStreamTask
task.inputs=kafka.test
task.checkpoint.factory=org.apache.samza.checkpoint.kafka.KafkaCheckpointManagerFactory
task.checkpoint.system=kafka
task.checkpoint.replication.factor=1

# Metrics
metrics.reporters=snapshot,jmx
metrics.reporter.snapshot.class=org.apache.samza.metrics.reporter.MetricsSnapshotReporterFactory
metrics.reporter.snapshot.stream=kafka.metrics
metrics.reporter.jmx.class=org.apache.samza.metrics.reporter.JmxReporterFactory

# Serializers
serializers.registry.string.class=org.apache.samza.serializers.StringSerdeFactory
serializers.registry.metrics.class=org.apache.samza.serializers.MetricsSnapshotSerdeFactory

# Systems
systems.kafka.samza.factory=org.apache.samza.system.kafka.KafkaSystemFactory
systems.kafka.samza.msg.serde=string
systems.kafka.consumer.zookeeper.connect=localhost:2181/
systems.kafka.consumer.auto.offset.reset=largest
systems.kafka.producer.bootstrap.servers=localhost:9092

# Metadata
systems.kafka.metadata.bootstrap.servers=localhost:9092
java metadata apache-kafka apache-samza